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Influence of natural mortality and stock-recruitment relationship on yellowfin tuna (Thunnus albacares) stock assessment
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Mingyuan Cui1, Qiuyun Ma1, 2, 3, 4, *, Siquan Tian1, 2, 3, 4, Longshan Lin5, Yuan Li5
Haiyang Xuebao | 2023, 45(3) : 40 - 51
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Haiyang Xuebao | 2023, 45(3): 40-51
Article
Influence of natural mortality and stock-recruitment relationship on yellowfin tuna (Thunnus albacares) stock assessment
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Mingyuan Cui1, Qiuyun Ma1, 2, 3, 4, *, Siquan Tian1, 2, 3, 4, Longshan Lin5, Yuan Li5
Affiliations
  • 1College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China
  • 2National Engineering Research Center for Oceanic Fisheries, Shanghai 201306, China
  • 3Key Laboratory of Sustainable Exploitation of Oceanic Fisheries Resources, Ministry of Education, Shanghai 201306, China
  • 4Key Laboratory of Sustainable Use of Oceanic Fisheries Resources, Ministry of Agriculture and Rural Affairs, Shanghai 201306, China
  • 5Third Institute of Oceanography, Ministry of Natural Resources, Xiamen 361005, China
Published: 2023-03-01 doi: 10.12284/hyxb2023044
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Yellowfin tuna (Thunnus albacares) is one of the most important fishes with great global economic and ecological value, and its conservation and management have received much concerns. The stock status of yellowfin tuna in the Indian Ocean based on the age-structured assessment program model is evaluated in this study, focusing on the uncertainties of its life history characteristics on the stock assessment results. The results show that the resources of yellowfin tuna in the Indian Ocean remained relatively stable from 1960 to 1985 and then declined gradually, while the fishing mortality coefficient F increased rapidly after 2010. This stock in 2020 may be overfished, since the estimated F2020 was greater than FMSY (F that could attain maximum sustainable yield MSY), while spawning stock biomass, SSB2020 was less than SSBMSY. Sensitivity analysis was also conducted to evaluate the uncertainties of stock assessment. Two important life history characteristics, natural mortality M and steepness of spawning-stock relationship h, were analyzed for their influence on the estimates of F, SSB and biological reference points. When h was set to 0.7, 0.8, and 0.9, SSBMSY and SSB0 (the unfished SSB) reduced by about 255 300 t and 340 400 t; and F2020/FMSY gradually decreased (from 2.88 to 2.21 and 1.73). When the M was set to M1 (0.963, 0.663, 0.548, 0.493, 0.463, 0.446) and M2 (1.068, 0.735, 0.608, 0.547, 0.514, 0.495) respectively, the larger M2 leads to lower SSB and F2020/FMSY. In summary, the conservation and management of Indian Ocean yellowfin tuna should be tightened in the future to achieve long-term sustainable development of this fishery. The life history characteristics of yellowfin tuna should be fully understood, especially M and h estimation should be improved, to provide more accurate information for stock assessment and fisheries management for Indian Ocean yellowfin tuna.

pelagic fishery  /  fish population dynamics  /  sensitivity analysis  /  natural mortality  /  steepness
Mingyuan Cui, Qiuyun Ma, Siquan Tian, Longshan Lin, Yuan Li. Influence of natural mortality and stock-recruitment relationship on yellowfin tuna (Thunnus albacares) stock assessment[J]. Haiyang Xuebao, 2023 , 45 (3) : 40 -51 . DOI: 10.12284/hyxb2023044
Year 2023 volume 45 Issue 3
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144
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Article Info
doi: 10.12284/hyxb2023044
  • Receive Date:2022-08-17
  • Online Date:2025-12-26
  • Published:2023-03-01
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History
  • Received:2022-08-17
  • Revised:2022-10-11
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Affiliations
    1College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China
    2National Engineering Research Center for Oceanic Fisheries, Shanghai 201306, China
    3Key Laboratory of Sustainable Exploitation of Oceanic Fisheries Resources, Ministry of Education, Shanghai 201306, China
    4Key Laboratory of Sustainable Use of Oceanic Fisheries Resources, Ministry of Agriculture and Rural Affairs, Shanghai 201306, China
    5Third Institute of Oceanography, Ministry of Natural Resources, Xiamen 361005, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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